EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 430 (2023) E3S Web Conf., 430 (2023) 01189 References
Open Access
Issue
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
Article Number 01189
Number of page(s) 5
DOI https://doi.org/10.1051/e3sconf/202343001189
Published online 06 October 2023
  1. Ben Fadhel Y, Ktata S, Sedraoui K, Rahmani S, Al-Haddad K, “A modified wireless power transfer system for medical implants”, Energies, Vol no 12, Iss no 10, Pg no:1-21, 2019, [Google Scholar]
  2. Haumann S, Bauernfeind G, Teschner MJ, Schierholz I, Bleichner MG, Büchner A, Lenarz T, “Epidural recordings in cochlear implant users”, Journal of neural engineering, Vol no 16, Iss no 5,2019. [Google Scholar]
  3. L. Xiu, “Time Moore: Exploiting Moore's Law From The Perspective of Time,” in IEEE Solid-State Circuits Magazine, Vol no 11, Iss no 1, Pg no:39-55,2019. [Google Scholar]
  4. R. S. Pal, S. Sharma, and S. Dasgupta, “Recent trend of FinFET devices and its challenges: A review”,2017 Conference on Emerging Devices and Smart Systems (ICEDSS), Pg no:150-154,2017. [Google Scholar]
  5. H. Uluşan, S. Chamanian, B. İlik, A. Muhtaroğlu, and H. Külah, “Fully Implantable Cochlear Implant Interface Electronics With 51.2μW Front-End Circuit,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol no 27, Iss no 7, Pg no:1504-1512,2019. [CrossRef] [Google Scholar]
  6. Hussong A, Rau TS, Ortmaier T, Heimann B, Lenarz T, Majdani O, “An automated insertion tool for cochlear implants: another step towards atraumatic cochlear implant surgery”, International journal of computer assisted radiology and surgery, Vol no 5, Iss no 2, Pg no:163-171,2010. [CrossRef] [PubMed] [Google Scholar]
  7. Zwolan TA, “Recent advances in cochlear implants”, Contemporary Issues in Communication Science and Disorders, Vol no 35, Pg no:113-121,2008. [CrossRef] [Google Scholar]
  8. Sadulla Shaik, K Sri Rama Krishna, and Ramesh Vaddi, “Circuit and Architectural Co-Design for Reliable Adder Cells with Steep Slope Tunnel Transistors for Energy Efficient Computing” 29th International Conference on VLSI Design and 15th International Conference on Embedded System (VLSID-2016) On January 4-8 2016. [Google Scholar]
  9. Zeng FG, Rebscher S, Harrison W, Sun X, Feng H, “Cochlear implants: system design, integration, and evaluation”, IEEE reviews in biomedical engineering., Vol no 1,Pg no:115-42,2008. [CrossRef] [PubMed] [Google Scholar]
  10. Subramanyam, Kasturi, Sadulla Shaik, and Ramesh Vaddi. “Tunnel FET based low voltage static vs dynamic logic families for energy efficiency.” VLSI Design and Test, 18th International Symposium on VDAT-14. IEEE, 2014. [Google Scholar]
  11. K.Hima Bindu, N. Usha Rani “A Low Power High Efficient Radio Frequency Clock Generator for Bio-Implant”, IEEE 2nd International Conference on Communication and Electronics Systems ICCES 2017. [Google Scholar]
  12. Intzes I, Meng H, Cosmas JP, “High Data Rate FinFET On-Off Keying Transmitter for Wireless Capsule Endoscopy”, Hindawi VLSI Design Vol no 2018 Pg no:1-7,2018. [CrossRef] [Google Scholar]
  13. Gu Y, Aissa S, “RF-based energy harvesting in decode-and-forward relaying systems: Ergodic and outage capacities”, IEEE Transactions on Wireless Communication, Vol no 14, Iss no 11, Pg no:6425-434,2015 [CrossRef] [Google Scholar]
  14. Kurra, Anil Kumar, and Usha Rani Nelakuditi. “A secure arbiter physical unclonable functions (PUFs) for device authentication and identification.” Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 7.1 (2019): 117-127. [Google Scholar]
  15. Kurra, A., & Nelakuditi, U. R. (2019). Design of a Reliable Current Starved Inverter Based Arbiter Physical Unclonable Functions (PUFs) for Hardware Cryptography. Ingénierie des Systèmes d Inf., 24(4), 445-454. [Google Scholar]
  16. Shaik, S., Kurra, A. K., & Surendar, A. (2019). High secure buffer-based physical unclonable functions (PUFs) for device authentication. TELKOMNIKA, 17(1), 377-383. [CrossRef] [Google Scholar]
  17. Bulla, Chetan, Chinmay Parushetti, Akshata Teli, Samiksha Aski, and Sachin Koppad. “A review of AI based medical assistant chatbot.” Res Appl Web Dev Des 3 (2020): 1-14. [Google Scholar]
  18. Gandhi, Meera, Vishal Kumar Singh, and Vivek Kumar. “Intellidoctor-ai based medical assistant.” In 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), vol. 1, pp. 162-168. IEEE, 2019. [CrossRef] [Google Scholar]
  19. Vinayagam, P., A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, and K. Tanuja. “An AI Tool for Emergency Medical Assistance system.” In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), pp. 1115-1121. IEEE, 2022. [Google Scholar]
  20. S. Sheikh, B. Suthar, and M. Uddin, in 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI) (IEEE, 2017), pp. 1–6 [Google Scholar]
  21. H. Singh, B. Suthar, S. Z. Mehdi, and J.-H. Ryu, in 2018 IEEE Haptics Symposium (HAPTICS) (IEEE, 2018), pp. 14–19 [Google Scholar]
  22. L. Heisnam and B. Suthar, in IEEE Robotics and Automation for Humanitarian Applications (RAHA), 2016 International Conference On (IEEE, 2016), pp. 1–5 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.